ci.slope.mean.bs

Computes a test statistic and confidence interval for the slope of means in
a one-factor experimental design with a quantitative between-subjects
factor. This function computes both the unequal variance and equal variance
confidence intervals and test statistics. A Satterthwaite adjustment to the
degrees of freedom is used with the unequal variance method.

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. The sample size functions can be used to approximate the
sample size needed to estimate a parameter or function of parameters
with desired confidence interval precision or to perform a variety of
hypothesis tests (directional two-sided, equivalence, superiority,
noninferiority) with desired power. For details see: Statistical Methods
for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

ci.slope.mean.bs function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>m</dt>
<dd>vector of sample means</dd>
<dt>sd</dt>
<dd>vector of sample standard deviations</dd>
<dt>n</dt>
<dd>vector of sample sizes</dd>
<dt>x</dt>
<dd>vector of numeric predictor variable values</dd></dl>

Arguments

Confidence interval for the slope of means in a one-factor experimental
design with a quantitative between-subjects factor — ci.slope.mean.bs

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>m</dt>
<dd>vector of sample means</dd>


<dt>sd</dt>
<dd>vector of sample standard deviations</dd>


<dt>n</dt>
<dd>vector of sample sizes</dd>


<dt>x</dt>
<dd>vector of numeric predictor variable values</dd>

</dl>

ci.slope.mean.bs: Confidence interval for the slope of means in a one-factor experimental design with a quantitative between-subjects factor

Description

Usage

Value

Arguments

Examples